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PreviewIssue DateTitleAuthor(s)
2018Empirically derived method and software for semi-automatic calibration of Cellular Automata land-use modelsNewland, C.; Zecchin, A.; Maier, H.; Newman, J.; van Delden, H.
2014Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directionsMaier, H.; Kapelan, Z.; Kasprzyk, J.; Kollat, J.; Matott, L.; Cunha, M.; Dandy, G.; Gibbs, M.; Keedwell, E.; Marchi, A.; Ostfeld, A.; Savic, D.; Solomatine, D.; Vrugt, J.; Zecchin, A.; Minsker, B.; Barbour, E.; Kuczera, G.; Pasha, F.; Castelletti, A.; et al.
2015Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource modelsLi, X.; Maier, H.; Zecchin, A.
2015Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimationLi, X.; Zecchin, A.; Maier, H.
2018Multi-objective optimisation framework for calibration of Cellular Automata land-use modelsNewland, C.; Maier, H.; Zecchin, A.; Newman, J.; van Delden, H.
2018Enhancing the policy relevance of exploratory scenarios: generic approach and application to disaster risk reductionRiddell, G.; van Delden, H.; Dandy, G.; Zecchin, A.; Maier, H.
2012Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problemZecchin, A.; Simpson, A.; Maier, H.; Marchi, A.; Nixon, J.
2014Selection of smoothing parameter estimators for general regression neural networks - applications to hydrological and water resources modellingLi, X.; Zecchin, A.; Maier, H.
2014The Battle of the Water Networks II (BWN-II)Marchi, A.; Salomons, E.; Ostfeld, A.; Kapelan, Z.; Simpson, A.; Zecchin, A.; Maier, H.; Wu, Z.; Elsayed, S.M.; Song, Y.; Walski, T.; Stokes, C.; Wu, W.; Dandy, G.; Alvisi, S.; Creaco, E.; Franchini, M.; Saldarriaga, J.; Páez, D.; Hernández, D.; et al.